# -*- coding: utf-8 -*-

import xml.etree.ElementTree as ET
import pickle
import os
from os import listdir, getcwd
from os.path import join

# sets=[('2012', 'train'), ('2012', 'val'), ('2007', 'train'), ('2007', 'val'), ('2007', 'test')]

# classes = ["aeroplane", "bicycle", "bird", "boat", "bottle", "bus", "car", "cat", "chair", "cow", "diningtable", "dog", "horse", "motorbike", "person", "pottedplant", "sheep", "sofa", "train", "tvmonitor"]

sets = [('2018', 'train')]
classes = ["person", "car"]


def convert(size, box):
    dw = 1. / size[0]

    dh = 1. / size[1]
    x = (box[0] + box[1]) / 2.0
    y = (box[2] + box[3]) / 2.0
    w = box[1] - box[0]
    h = box[3] - box[2]
    x = x * dw
    w = w * dw
    y = y * dh
    h = h * dh
    return (x, y, w, h)


def convert_annotation(year, image_id):
    in_file = open('mylabel.xml', "r", encoding="utf-8")   # （如果使用的不是VOC而是自设置数据集名字，则这里需要修改）
    out_file = open('traind.txt', "w", encoding="utf-8") # （同上）

    tree = ET.parse(in_file)
    root = tree.getroot()
    size = root.find('size')
    w = int(size.find('width').text)
    h = int(size.find('height').text)


    for obj in root.iter('object'):
        difficult = obj.find('Difficult').text
        cls = obj.find('name').text
        if cls not in classes or int(difficult) == 1:
            continue
        cls_id = classes.index(cls)
        xmlbox = obj.find('bndbox')
        b = (float(xmlbox.find('xmin').text), float(xmlbox.find('xmax').text), float(xmlbox.find('ymin').text),
             float(xmlbox.find('ymax').text))
        bb = convert((w, h), b)
        out_file.write(str(cls_id) + " " + " ".join([str(a) for a in bb]) + '\n')

    out_file.close()

    # wd = getcwd()
    #
    # for year, image_set in sets:
    #     if not os.path.exists('VOCdevkit/VOC%s/labels/' % (year)):
    #         os.makedirs('VOCdevkit/VOC%s/labels/' % (year))
    # image_ids = open('VOCdevkit/VOC%s/ImageSets/Main/%s.txt' % (year, image_set)).read().strip().split()
    # list_file = open('%s_%s.txt' % (year, image_set), 'w')
    # for image_id in image_ids:
    #     list_file.write('%s/VOCdevkit/VOC%s/JPEGImages/%s.jpg\n' % (wd, year, image_id))
    # convert_annotation(year, image_id)
    # list_file.close()


convert_annotation(1, 1)